Plentiful gets cheap
Work anyone can produce with the same tools loses its price, whoever produced it first.
Value, when intelligence is cheap.
The choices that decide whether AI is a cost, a product, or a better way of working. We help you decide where AI should change what you offer, where it should change how you work, and where it shouldn't change anything. Those choices get revisited as the frontier moves and new opportunities arise.
Brief us on your challengeEvery year the same intelligence costs a fraction of what it did. Value concentrates around the choices that are harder to replicate.
Faster research and hundreds of billions in new data centres make intelligence exponentially cheaper every year. Slowly, parts of your work become easy to replace. The companies that do well see it early, pivot, and decide which value they will stand for.
Work anyone can produce with the same tools loses its price, whoever produced it first.
Trust, judgement and accountability are hard to copy with a model. Choosing one of them means giving up some of the others.
The part of your offer customers pay for now may be the part AI makes ordinary.
Which scarce thing will you commit to, and what will you stop doing to protect it?
Selected work
AI is starting to improve itself. The organisations that pull ahead do the same, getting better at using it each time they use it.

A retail group wanted analytics that would support data-driven decisions. Current and target analytics capabilities were mapped, and a short- and medium-term roadmap was set. IT, marketing, finance, and a new data team aligned on the roadmap and a strategic thinking framework.
The roadmap was adopted and the framework was embedded in the D&A team.

An AI workspace for job seekers: search across boards, track applications, tailor resumes and letters. Built and run by us.

A regional industrial group needed an IoT adoption path and a clearer view of analytics maturity. Maturity was assessed, an IoT strategy was set, and dashboards were built so internal groups could work from the same picture.
The IoT strategy and dashboard infrastructure were adopted across the organization.

A private equity buy-and-build platform needed reporting that worked for investors and the portfolio. Warehousing and BI dashboards were built around those reporting needs.
Scalable reporting infrastructure was deployed across the portfolio platform.